Last active
September 25, 2021 16:17
-
-
Save egemenzeytinci/1ef2564ca394ab2fbec5918f1e0fb41c to your computer and use it in GitHub Desktop.
Matplotlib pie chart by n values or threshold
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import matplotlib.pyplot as plt | |
import pandas as pd | |
def pie_by_first_n(df, label_col, size_col, other_name='others', n=5): | |
df_sum = df.groupby(label_col)[size_col].sum().reset_index() | |
df_sum = df_sum.sort_values(by=size_col, ascending=False) | |
df2 = df_sum[:n].copy() | |
data = { | |
label_col: [other_name], | |
size_col: [df_sum[size_col][n:].sum()], | |
} | |
new_row = pd.DataFrame(data) | |
df2 = pd.concat([df2, new_row]) | |
sizes = df2[size_col] | |
labels = df2[label_col] | |
plt.figure(figsize=(15, 10)) | |
plt.pie(sizes, labels=labels, autopct='%1.1f%%', shadow=True, startangle=140, rotatelabels=90) | |
plt.show() | |
def pie_by_threshold(df, label_col, size_col, other_name='others', threshold=5.0): | |
df_sum = df.groupby(label_col).agg({size_col: 'sum'}).apply(lambda x: 100 * x / float(x.sum())) | |
df_sum = df_sum.reset_index() | |
df1 = df_sum[df_sum[size_col] >= threshold].copy() | |
df2 = df_sum[df_sum[size_col] < threshold].copy() | |
data = { | |
label_col: [other_name], | |
size_col: [df2[size_col].sum()], | |
} | |
new_row = pd.DataFrame(data) | |
df_last = pd.concat([df1, new_row]) | |
sizes = df_last[size_col] | |
labels = df_last[label_col] | |
plt.figure(figsize=(15, 10)) | |
plt.pie(sizes, labels=labels, autopct='%1.1f%%', shadow=True, startangle=140, rotatelabels=90) | |
plt.show() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Thats great!
I found it very useful for my task. My product manager will be happy about new charts)