Ascending order bar graph code in python

Ascending order bar graph code in python. dates as Aug 25, 2016 · 4. plot(kind='bar', figsize=(15,5)) Also, that code will overwrite df1 as a Matplotlib subplot instead of updating the dataframe. Inside the faceted chart the bars are rendered in ascending or descending order. if n <= 1: return # If the array has 0 or 1 element, it is already sorted, so return. So how do you use it? The program below creates a bar chart. ensemble import RandomForestClassifier. get_xlim()[::-1]) # call `draw` to re-render the graph plt. That is strange, because if I don't Aug 10, 2022 · 1. I. matplot aims to make it as easy as possible to turn data into Bar Charts. Aug 9, 2020 · In this case add the following to your code: Python Pandas - Don't sort bar graph on y axis values. For a bar chart with just one series, this can be: None, to use the default color. Feb 2, 2024 · This guide explores the theory behind ordering bars in ggplot2 bar graphs and provides various examples to illustrate different scenarios in the R Programming Language. plots import barplot. Apr 10, 2020 · I am wondering how to align the bar graphs on the x-axis in ascending numerical order in matplotlib. Apr 29, 2019 · 1. sort_values (by, axis=0, ascending=True, inplace=False, kind=’quicksort’, na_position=’last’) Parameters: by: Single/List of column names to sort Data Frame by. groupby("Name"). Here's how to retain original order of the labels in your example using the Charts interface, tested with Bokeh 0. Of course, you could also do the sorting the other way around in reversed order. axes Sep 10, 2019 · 7. bar(sort_columns="Class") Presorting the columns in the dataframe also has no effect - how can May 12, 2020 · As far as I know, Seaborn hasn't a built-in way to order via the aggregated amounts. TOP_CAP_YLABEL = '% of total cap'. lineplot(x='month', y='distance', data=df1, sort=True) # Set to False to keep the original order in your DataFrame. What you want can be achieved with sort=False (the default is True ): # True or omitted. The reorder () function takes two arguments: the variable you Nov 9, 2019 · my desired outcome would be this data frame in the same format, just with the State column sorted by the total Number of Records in descending order. We will use the Stack Overflow Survey data 56. I tried to reverse the order then move the x-axis labels via: chart. I have tried to add . For example, value 9 has the highest bar because it appears 4 times in the list. How can I do that? This is my code: plt. That’s why you get the image you’ve shown, where the value for the first row in the dataframe is in the bottom. Your code after changes: vc = pd. Let's create a sample dataframe. Try removing that, they should be in the original order – To plot a bar chart you can use matplotlib pyplot’s bar() function. barplot ( x, y, data, hue) Output : Example 3: shows a Horizontal barplot. A bar plot is a plot that presents categorical data with rectangular bars with lengths proportional to the values that they represent. There are many different variations of bar charts. The provided Python code demonstrates the Selection Sort algorithm. . groupby Data Visualization with Matplotlib and Python. I would like the bars ordered 'b', 'a', 'c' (by count) Jun 21, 2021 · I've tried to do that but then the years are in decreasing order, which I don't want either. However, when it is converted to horizontal bar chart (from bar to barh ), everything is upside-down. s = df['class']. sort_values(ascending=True) is your problem here - I would assume that is sorting the dataframe by the counts in the column you are plotting (i. Sep 21, 2021 · This tutorial will look at different methods of plotting bar charts/bar graphs using matplotlib in python. To our surprise, Python has a library named missingno which provides different visualizations that let us visualize and analyze missing values (NaNs/NULLs/None) present in our dataset from different angles. groupby('class')[feat]. express as px import pandas as pd My data looks like this: sns. 2. keyboard_arrow_up. This Python program contains a simple program to generate bar graphs using the Matplotlib Python library. Make a data frame, df, of two-dimensional, size-mutable, potentially heterogeneous tabular data. This works fine but its building the chart with the smallest bar (lowest value) at the top, when i want it to be at the bottom. C/C++ Code # importing module import pyspark # importing sparksession from # pyspark. index) Nov 13, 2017 · I created a chart in matplotlib using python and the x-axis is the days of the week (Mon-Sun). The plot showed a problem that the Y axis is not ordered. Here's my code : fig3, new_ax = plt. Smoothing. g. I'm trying to create a bar graph for this but am not sure how to proceed since one column doesn't have a header. Nov 8, 2018 · hi! i’ve built a bar chart that is currently using a 'orientation = ‘h’ parameter to make it a horizontal bar chart instead of vertical. 1. Related course: Matplotlib Examples and Video Course. Nov 2, 2020 · presumably . Given your choice of variable names, plus the seeming confusion surrounding the use of scatter plots, it seems like name may be a categorical variable that you'd like to plot on the x-axis, sorted by value. 1. It's important to keep track of default sort orders in Matlab: barh plots vectors according to their indices in descending order (i. figure(figsize = (16,5)) ax = sns. gca() # set the xlimits to be the reverse of the current xlimits ax. In any case fig in plotly terms is normaly a plotly figure object. The below shown snippet of code sorts the total count, in descending order from left to right, as seen in the image below: Python is automatically sorting the chart to show the largest sized bar on the left and the smallest sized bar on right, as shown below: Bar Chart with Sorted or Ordered Categories¶ Set categoryorder to "category ascending" or "category descending" for the alphanumerical order of the category names or "total ascending" or "total descending" for numerical order of values. the y axis - which is why the bar heights are ascending from left to right). pyplot as plt import matplotlib. dt. sql import SparkSession # cre Aug 4, 2021 · I am trying to create a stacked horizontal bar chart, which is created by the following code, however I want to order it in descending order of frequency. pyplot as plt import pandas as pd. Bar ( x= ['giraffes', 'orangutans', 'monkeys Mar 25, 2021 · The following does the trick: chart. sql module from pyspark. Sharing the dataframe and code below I am trying to plot a bar chart of total count (y-axis) vs day of the month (x-axis). I’d like it to be in descending order. Matplotlib keeps sorting my x-axis alphabetically even when I sort my dataframe values. Taking sample data from px. so you need just to sort the index before ploting. Dec 9, 2019 · plt. The x-coordinates must be numeric. bar() Here's a sample plot with and without the [label_order] addition. import random. TL'DR, the vertical bar charts are shown in a conventional way -- things line up from left to right. 'loan_amnt': np. In addition, the xlabel is rotated, I want to fix it. content_copy. agg('mean'). Code counting_edu = main_Dg. set_y_axis({ 'reverse': True}) But then the the x-axis values are on top of the chart, while I want to keep them on the bottom. I want the graph plotted with the bar pertaining to Chicago coming first and followed by other regions in ascending order. libraries: from plotly import graph_objs as go import plotly. It'll always sort based on the A value, I want to sort it based on B and C independently. Thanks I've been battling to order and plot a simple dataframe as a bar chart in ggplot2. Here is a code example. get_xticklabels(): item. Matplotlib Python has an extensive library for creating stable, animated, and interactive data visualizations. It will work as expected on 3. base = datetime. Normalizing to the unit square. To display the figure, use show () method. Thanks for watching!Roshan Cyriac MathewSubscribe Oct 15, 2015 · For information about creating bar charts with modern and fully supported Bokeh APIs, see other responses. uniform(1000, 10000, N)}) To include the lines indicating the confidence intervals, the barplot could be created from the original data Oct 18, 2018 · How can I order my bar chart so that it is in the order of greatest to least value? I tried the below code, but it isn't giving me the expected result. I want to plot the data as it appears, so that the values ('count' variable) for the corresponding categories (e. barplot function. graph_objs as go trace1 = go. # -*- coding: UTF-8 -*- import matplotlib. This is the first thing I came up with: If the issue persists, it's likely a problem on our side. Range of x- and y-values will be normalized to 0 to 1 (see axes). I'm plotting the Total Sales grouping by the region. 16. index as the x-axis, and then changing the tick labels to name entries. Under home_team are a bunch of team names. Set the figure size and adjust the padding between and around the subplots. Syntax: DataFrame. SyntaxError: Unexpected token < in JSON at position 4. Data Jan 4, 2021 · One of my assignments is to write a python program that sorts three numbers in ascending orders without use of any functions like sort or swap. We are going to add one line of code to the previous code to achieve this. Jun 22, 2021 · Pandas Grouped Bar Chart Displayed in Descending Order Hot Network Questions A Fantasy movie with both animation and real actors, in particular a shy, bookish boy Feb 10, 2022 · I've 3 x-values (Grouped Bar Chart) for each row which are separated by name (the plot below), displayed using fig. TOP_CAP_TITLE = 'Top 10 market capitalization'. rearrange the cell array to reflect the new sequence. May 17, 2019 · I plotted a bar graph, in which I want to display the labels in descending order, while my label-'five'should always be in the last. I am currently plotting my subplots like this: df. The regions are Philadelphia, Los Angeles and Chicago. The order can be determined by sorting the output of groupby. Group the values first then sort and change ascending=True to False: df1 = df1. sort_values('u_power', ascending=True) you're not building a figure, but sorting a dataframe. The algorithm maintains two subarrays in a given array. Your help would be appreciated. title('Top Ten Leading Causes of Death in the United States (1999-2017)',fontsize=20)`. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. sort_values() in the groupby line but it doesn't affect the graph. Data Visualization with Matplotlib and Python. The bars go from left to right instead of bottom to top. I want to plot two columns' values with bar plot, and the bar plot sorts values by the other column. The following is the syntax: import matplotlib. sort_values('salary_in_usd'). Test data (I set category as the index as thats what it looks like you have for your actual data): 'number': [10000, 235, 293, 824]}) number. To sort bars in a bar plot in ascending order, we can take the following steps −. When you supply an array of strings, Seaborn automatically sort it alphabetically. plt. The code below creates a bar chart: Matplotlib is a powerful and very popular data visualization library in Python. Nov 27, 2020 · I have the following code but I want it to be sort by Month instead of totals. The code below creates a bar chart: Study with Quizlet and memorize flashcards containing terms like In order to create a graph in Python, you need to include which? import matplotlib import pyplot import matplotlib. Make a bar plot with the dataframe, df. Create a Bar Chart in Python with Pandas DataFrame. set_x_axis({ 'label_position': 'low'}) This does not seem to do anything. Let me know if you have any questions. sum Dec 3, 2015 · I have a Pandas DataFrame, and I groupby a column, call . I have 4 data sets that are represented in the bar plot, but they are grouped together in the order in which I put them in my script. Apr 27, 2024 · You’ll now get a styled bar chart, where each country is represented by a different color. Dec 1, 2016 · I have a Pandas DataFrame. bar(x, height) Here, x is the sequence of x-coordinates (or labels) to be used and height is the sequence of heights for each x. W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Refresh. to_period('M') vc_graph = vc['month_year']. gapminder, an example of such sorting and subsetting could be: To order the bars alphabetically, you could make the column categorical with ordered=True: 'Rating': np. strftime('%B'))['total']. Importing library for race bar plot. !pip install raceplotly. So far, you have seen how to create a bar chart using lists. Please run the code below: Sep 22, 2021 · To sort bars in increasing order in a bar chart in matplotlib, we can take the following steps −. One axis of the plot shows the specific categories being compared, and the other axis represents a measured value. A bar chart shows values as vertical bars, where the position of each bar indicates the value it represents. Aug 25, 2021 · In this article, we are going to see how to draw a horizontal bar chart with Matplotlib. A bar chart describes the comparisons between the discrete categories. update_xaxes(categoryorder='category ascending'). bar () function with parameters x,y as plt Sep 28, 2021 · There's no buillt-in way to do this, so you'll have to handle sorting and subsetting through pandas for example. today() Jan 29, 2019 · EDIT (based on the comments). Sep 8, 2021 · If possible remove labels on the bottom of the chart because I have explanation in legend. bar() method, so that we can fix the legend entries back to 'Male' and 'Female'. load_iris() X = iris. This results in a chart that looks like this: I was attempting to re-order the graph such that the bars were in descending order. Output : Example 4: Plot all bars in a given order. from_dict(Temp_Counts, orient = 'index') df. values='values',title='OrderedDict Input',xlabel="Day", ylabel="Value") May 28, 2014 · 44. random. Example 3: Barchart with Decreasing Order. Parameters: Apr 24, 2023 · We then sort in descending order and select the top 10 with the highest layoffs. Bar chart code. In ggplot2, the reorder () function is commonly used to reorder bars on the x-axis based on a specified variable. pyplot import pyplot import matplotlib, Which method can be used to convert a tuple to a list?, Which method or operator can be used to concatenate lists? and more. groupby(["cause_name"]) Jun 28, 2019 · How is it possible to plot the x axis categories in ascending order in Python. Let us create some data for making bar plots. sns. Any solution? Mar 4, 2021 · A bar plot or bar chart is a graph that represents the category of data with rectangular bars with lengths and heights that is proportional to the values which they represent. show()) displays the graph which is shown below. If that's the case, I'd recommend initially plotting with df. Python Program for Selection Sort. iris = datasets. groupby(df['date']. Smoothed data (Image by author) 2. Jun 16, 2021 · A Barplot is a graph that represents the relationship between a categoric and a numeric feature. 0. Your code works fine on matplotlib 2. Using a spline to “smooth” the shape of the raw data. (sorting by largest red Sep 12, 2020 · Lastly, we can use pandas' own built in plotting method to plot a stacked bar chart. First, let’s create the following dataset that shows the total sales made in various regions for some company: Next, let’s create a bar chart to visualize the total sales by region. When the data was plotted though, the x-axis is not arranged Mon-Sun. A bar plot shows comparisons among discrete categories. Unexpected token < in JSON at position 4. I am plotting some counts from a field of dataframe (pandas) and I found that the X axis is sorted by the counts (descending order). For example, I want to sort values in descending order by column a_b (sum of column a and b ). import plotly. I produce a bar graph with the following code: Temp_Counts = Counter(weatherDFConcat['TEMPBIN_CON']) df = pd. load_dataset("titanic") Jan 2, 2018 · I am trying to plot using matplotlib. sort_values(['AveragePrice'],ascending=False). Aug 10, 2021 · Matplotlib Python Data Visualization. Aug 28, 2023 · Python. I've followed other threads on this site asking similar questions, but can't get this to work! Feb 8, 2021 · 1. bar(). mean: order = df. Creating a vertical bar chart. e. plot. These are the foundational plots that will allow you to start understanding, visualizing, and telling stories about data. sort_values(ascending=False). Mar 24, 2014 · To get your bar plot we need to: sort the data vector. plot(kind='bar', subplots=True, layout=(2,10), figsize=(10,10)) How can I sort the current bar charts in descending order. countplot is a special bar-plot that computes group-wise count under the hood. We are going to order the bars of our barchart in ascending order, such that the bars increase in height as the age values get higher. May 2, 2022 · The direction is from bottom to top and not the other way around. As you can see in Figure 3, our bars were sorted in decreasing order. 11. Using grouped bar plots, we can study the relationship between more than two features. import datetime. elements with higher indices appear first) Jul 29, 2021 · Another way of making a Racing Bar chart. For this, we are using sort() and orderBy() functions in ascending order and descending order sorting. df = pd. value_counts (ascending= True). The date format is YYYY-MM-DD df. Once that is done you can set the data type of Jun 10, 2021 · Syntax: seaborn. Bar charts is one of the type of charts it can be plot. DataFrame({}) numdays = 1000. exchange the data variable instead of two data variables then it means that the axis denotes each of these data variables as an axis. I'm not sure what your desired output is, or what your data looks like. show() Apr 7, 2019 · Here are two example of how this problem of sorting can be solved in R: 1) Stacked bar graphs in plotly: how to control the order of bars in each stack. plotly as py import plotly. So far I can only imagine that you'd like to sort a dataset that looks like Nov 21, 2021 · You can just use the original df and specify the ordering with barplot's order param. Here is the code, #Declaring these now for later use in the plots. randint(1, 11, 50)}) To order the bars in descending order, you could use the following code. The following code would work: import seaborn as sns. Create a bar plot using bar () method, with sorted data. Feb 6, 2024 · In this article, we are going to sort the dataframe columns in the pyspark. key = arr[i] # Store the current element as the key to be inserted in the right position. datetime. Therefore, this Aug 22, 2019 · 4. import numpy as np. Alternatively, you can capture the dataset in Python using Pandas DataFrame, and then plot your chart. titanic = sns. value_counts(). Mar 29, 2019 · I am trying to plot bar plot subplots of each row in descending order. for i in range(1, n): # Iterate over the array starting from the second element. Note that sorting the bars by a particular trace isn't possible right Note: You may notice that there are 3 lines of code that were turned to comments. May 20, 2017 · 5. def insertionSort(arr): n = len(arr) # Get the length of the array. categoryorder for more information. The label above each bar is the value itself, while the length of the bar is the count for this value. Although you can use any alias you like, sns is a nod to the fictional character the library was named after. By convention, you import it as sns. Use this (example using Iris Dataset): from sklearn. groupby('region'). Add a subplot to the current figure. When you're running fig = data. If you want to sort the bars in your bar chart by ascending order instead of descending order, you can use the sort_values () function with the ascending=True parameter. Above shown is my original graph generated using the below code. The index of this series can be used to create the ordered categorical data type. , for a grouped bar chart, not only the order of the grouped bar is wrong, the order of the each group is wrong as well. Many rectangular bars correspond to each category of the categoric feature and the size of these bars represents the corresponding value. plot(kind = 'bar') It produces the following bar chart: I would like to change the order the columns are listed. You can just sort your dataframe first and then create the plot using your dataframes plot method. axis: 0 or ‘index’ for rows and 1 or ‘columns’ for May 16, 2021 · I'm trying to create a bar graph for dataframe. mean(). Dec 26, 2020 · The sort_values () function sorts a data frame in Ascending or Descending order of passed Column. Taking the value_counts() of a column will return a series ordered descendingly. rename_axis('class'). Other than Plotly animation we can also make a racing chart with the help of raceplotly you can find the documentation here. Feb 10, 2020 · We will first start with making simple bar plot in matplotlib and then see how to make bar plots ordered in ascending and descending order. We're also specifying the title as part of the call to plot. pyplot as plt. The last line (plt. I've basically grouped the data by teams with the average arrests for that team. The following R code sorts our bars in decreasing order: Jan 5, 2022 · Hi all, I am trying to create faceted bar chart. index Then use this order along with data=df: Apr 4, 2018 · I'm plotting some categorical data using a bar chart. Feb 15, 2023 · The following code shows how to create a seaborn countplot in which the bars are in ascending order: import seaborn as sns #create countplot with values in ascending order sns. plot(): Thank you. Order Bars in Ascending Order. 🔵A, 🔴B, 🟤C. 2) Ordered bars on plotly. (the current/unsorted stacked bar chart looked like this: Dec 4, 2023 · Example: How to Sort Bars in Bar Chart in Google Sheets. groupby('Genre')['Rating']. Make a list of data for bar plots. Here’s the code to sort the fruit_counts Series object by ascending order: “`python. # sort the fruit_counts Series object by Sep 22, 2021 · To sort bars in increasing order in a bar chart in matplotlib, we can take the following steps −. If you want the biggest total on top and ordered values “descending down”, you need to use yaxis= {'categoryorder':'total ascending'} That worked. sort_index(ascending=True) I would like to order the bars in my seaborn plot using the y axis, so in this case the 'Fraud Probability' in descending order. Here is the complete code that you Stack Overflow Public questions & answers; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Talent Build your employer brand Plotting value counts in ascending order. Example Bar chart. So another way to order categories by count is to plot the value_counts() result instead. set_rotation(90) plt. Let us load Pandas and matplotlib to make bar charts in Python. # Load data. 2 and the issue seems to be with your list naming convention and some confusion among them. The method bar() creates a bar chart. unstack(0)[label_order]. I've tried a few different things that aren't seeming to work. May 16, 2023 · Figure 3: Increasing Order of Bars. DataFrame. set_xlim(ax. from sklearn import datasets. A bar chart in matplotlib made from python code. To do so, highlight the cell range A2:B7, then click the Insert tab along the top ribbon, then click Chart. Is there way I can re-order the x-axis to have it be formatted this way? or is there a way I can re-order the dataset? It is a csv file that is being read using the panda dataframe Aug 11, 2021 · after the value_counts() the values are sorted by the count and the month_year become the index of this DataFrame. A hex string like "#ffaa00" or "#ffaa0088". May 26, 2021 · Raw data (Image by author) Let’s get through the steps the “Kneedle” algorithm follows: 1. bar. This is because @Tronald Dump asked about the Seaborn Bar Plot functionality specifically, but there was code to display custom magenta labels that doesn't account for the usage of the optional "order" parameter of the seaborn. Mar 8, 2021 · The order of columns is determined by the column order in the dataframe you are plotting, therefore simply reordering the columns between unstacking and plotting will do the trick: df. The bar plots can be plotted horizontally or vertically. graph_objects as go. The values are dependent on the name column. Under arrests are a number of arrests at each date. Calling plt. Am wondering if there’s a Here is the output. size(). Creating list y consisting only numeric data for discrete values on y-axis. Finally, we create our bar chart using the selected data. Approach: Importing matplotlib. Mar 13, 2024 · First, you import seaborn into your Python code. index) Notice that the bars in the plot are now in ascending order. Instead is it possible to sort by the alphabetical order of the field? Here is the Python code: This sorts by the count but I want to sort by the cartype names. But there's a few issues, I cannot sort on a the column created in the aggregate Sep 7, 2022 · I am able to get the desired output but I want to go one step up and sort the bar in the descending order. I want to reorder the bars by some columns in the original dataframe, but passing them in sort_columns for bar() is not working: nodes. import pandas as pd. size and then call . In Python, we can plot a bar Matplotlib is a Python module that lets you plot all kinds of charts. fig1 =df4. In this tutorial, we will discuss how to create line plots, bar plots, and scatter plots in Matplotlib using stock market data in 2022. concat([df1, df2, df3]) vc['month_year'] = vc['date']. From the chart above, you will notice that Meta and Amazon had the highest number of laid off staff while Twitter had the fewest layoffs. Here's basic code for a Plotly stacked bar chart: import plotly. In that case the column doesn't need to be made categorical. An RGB or RGBA tuple with the red, green, blue, and alpha components specified as ints from 0 to 255 or floats from 0. I added a bit to my code and got this: `result = death. There are a number of other parameters as well that help you customize the plot. from raceplotly. import matplotlib. plot(kind='barh', legend=None, ylabel='Case Count', xlabel='Case Comments') The bars are not in any kind of order, I'd like have the horizontal bars in descending order, with the highest count first. order=df. One approach is to take the value_counts() of the Churn Category column and use that to construct an ordered categorical data type. Feb 21, 2021 · # grab a reference to the current axes ax = plt. Aug 28, 2023 · The selection sort algorithm sorts an array by repeatedly finding the minimum element (considering ascending order) from unsorted part and putting it at the beginning. barh() (optional) change the sort order of the barh plot. In order to manually select the hue order of a Seaborn plot, you have to define the desired order as a list and then pass it to the plot function as the argument hue_order . 0 to 1. %matplotlib inline. To work with data in seaborn, you usually load it into a pandas DataFrame, although other data structures can also be used. draw() matplotlib will 'do the right thing' if you set the x limits with left value being greater than the right value (and the same with the y-axis). subplots(1,1, figsi Jan 9, 2022 · Which looks like this: Now when I go to plot it. Explore and run machine learning code with Kaggle Notebooks | Using data from [Private Datasource] Jul 29, 2022 · In order to better handle missing data, we need a way to better understand the distribution of missing data as well in our datasets. May 16, 2018 · 1. data. sort_values() and call df. How to sort bars in a bar plot in ascending order. Creating list x for discrete values on x-axis. Then sort by number using df. For example, California would appear in the first position as Technology:359 + Furniture :444 +Office Supplies: 1198 = 2001 is the largest. The color to use for different series in this chart. countplot (data=df, x=' team ', order=df[' team ']. value_counts() s = df['class']. 'humans', 'male') are plotted from high to low. Note that we save the axis object that is returned by the plot. barplot(x = 'Customer ID', y = "Fraud Probability", data = fraud_df) for item in ax. X denotes an x-axis and y denote a y-axis. groupby('job_title'). rename('count') # if x- and y-labels are important. In this tutorial, you will understand the working of counting sort with working code in C, C++, Java, and Python. Pandas, however, can create such an aggregated and sorted list which then can be plotted via Seaborn. One of the axis of the plot represents the A barplot would be more than useful in order to visualize the importance of the features. In this Python program, we have used the popularity data of different programming languages and displayed it as a bar graph using Counting sort is a sorting algorithm that sorts the elements of an array by counting the number of occurrences of each unique element in the array and sorting them according to the keys that are small integers. Here is the code. Further calls to df1 will just output the type ( matplotlib. Right now, it is sorted based on the first letter of the respective crypto currencies. xi ai wh fy vy gs at dw qs by