[Matplotlib] Summary of methods for rotating x-axis labels

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0. Preface

This article mainly summarizes the method of rotating the x-axis label
:

• When I checked other blogs, I found that some of the explanatory text near the x/y axis (meaning it represents) are called labels, and some call the text corresponding to the scale as labels.
• This article refers to the latter, but the author prefers to call the first type a label. I don’t know a reasonable name for the time being, so I use "label" instead.

1. Text

1.1 No rotation

1.1.1 Method 1:

import pandas as pd
import matplotlib.pyplot as plt

file_name = 'data/input/plot2.xlsx'

data = pd.read_excel(file_name, 'thumbs up')
print(data)

data['Date'] = data.Date.dt.strftime('%Y-%m-%d')  # 改变时间类型

x = data['Date'].values.tolist()
y = data['sum of instructing'].values.tolist()

plt.plot(x, y)
plt.show()

We found that the scale texts corresponding to the x-axis are close together, as shown in the following figure:

1.1.2 Method two:

import pandas as pd
import matplotlib.pyplot as plt

file_name = 'data/input/plot2.xlsx'

data = pd.read_excel(file_name, 'thumbs up')
print(data)

data['Date'] = data.Date.dt.strftime('%Y-%m-%d')  # 改变时间类型

x = data['Date'].values.tolist()
y = data['sum of instructing'].values.tolist()

fig,ax = plt.subplots()
ax.plot(x, y)

plt.show()

1.2 Rotation

1.2.1 Method 1: plt.xticks()

import pandas as pd
import matplotlib.pyplot as plt

file_name = 'data/input/plot2.xlsx'

data = pd.read_excel(file_name, 'thumbs up')
print(data)

data['Date'] = data.Date.dt.strftime('%Y-%m-%d')  # 改变时间类型

x = data['Date'].values.tolist()
y = data['sum of instructing'].values.tolist()

plt.plot(x, y)
plt.xticks(rotation=90) # 旋转90度
plt.show()

The results are as follows:

1.2.2 Method 2: ax.set_xticklabels

import pandas as pd
import matplotlib.pyplot as plt

file_name = 'data/input/plot2.xlsx'

data = pd.read_excel(file_name, 'thumbs up')
print(data)

data['Date'] = data.Date.dt.strftime('%Y-%m-%d')  # 改变时间类型

x = data['Date'].values.tolist()
y = data['sum of instructing'].values.tolist()

fig,ax = plt.subplots()
ax.plot(x, y)
ax.set_xticklabels(labels=x, rotation=90)  # 旋转90度
plt.show()

result:

1.2.3 Method Three: tick.set_rotation()

import pandas as pd
import matplotlib.pyplot as plt

file_name = 'data/input/plot2.xlsx'

data = pd.read_excel(file_name, 'thumbs up')
print(data)

data['Date'] = data.Date.dt.strftime('%Y-%m-%d')  # 改变时间类型

x = data['Date'].values.tolist()
y = data['sum of instructing'].values.tolist()

fig,ax = plt.subplots()
ax.plot(x, y)

# ax.set_xticklabels(labels=x, rotation=90)  # 旋转90度

for tick in ax.get_xticklabels():
    tick.set_rotation(90)
plt.show()

1.2.4 Method 4: pl.xticks() (attached)

Description:

• This method is applicable to the above two (not rotated in 1.1), that is, whether you use plt to draw directly, or create a fig object first.
• Use plt here, another method (ax) readers can verify by themselves

import pandas as pd
import matplotlib.pyplot as plt
import pylab as pl

file_name = 'data/input/plot2.xlsx'

data = pd.read_excel(file_name, 'thumbs up')
print(data)

data['Date'] = data.Date.dt.strftime('%Y-%m-%d')  # 改变时间类型

x = data['Date'].values.tolist()
y = data['sum of instructing'].values.tolist()

plt.plot(x, y)
pl.xticks(rotation=90)
plt.show()

references

[1] https://blog.csdn.net/songrenqing/article/details/78927283
[2] https://ask.csdn.net/questions/769831
[3] https://blog.csdn.net/qq_15407209/article/details/86486480
[4] https://blog.csdn.net/changzoe/article/details/78851329
[5] https://blog.csdn.net/changzoe/article/details/78851329