[英]Change Order on X-Axis for Matplotlib chart
I created a chart in matplotlib using python and the x-axis is the days of the week (Mon-Sun).我使用 python 在 matplotlib 中创建了一个图表,x 轴是一周中的几天(周一至周日)。 When the data was plotted though, the x-axis is not arranged Mon-Sun.
但是,在绘制数据时,x 轴并未排列在周一至周日。
Is there way I can re-order the x-axis to have it be formatted this way?有什么方法可以重新排序 x 轴以使其格式化?
or is there a way I can re-order the dataset?或者有什么方法可以重新排序数据集? It is a csv file that is being read using the panda dataframe
这是一个使用熊猫数据框读取的 csv 文件
Example Data: (lives in csv: './data/Days_Summary.csv')示例数据:(存在于 csv 中:'./data/Days_Summary.csv')
Day Value
Monday 56
Tuesday 23
Wednesday 34
Thursday 56
Friday 58
Saturday 70
Sunday 43
Code:代码:
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
df=pd.read_csv('./data/Days_Summary.csv')
days_values=df.groupby(['day'])['day'].count().plot(kind='bar')
plt.xlabel('Day')
plt.ylabel('Values')
plt.show()
Use .loc
to set the day order:使用
.loc
设置日期顺序:
field = "Day"
day_order = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
ax = df.set_index(field).loc[day_order].plot(kind="bar", legend=False)
ax.set_ylabel("Value")
Note: Using groupby()
and count()
will not give you the values in the Value
field, but will instead count the number of rows in each group.注意:使用
groupby()
和count()
不会为您提供Value
字段中的Value
,而是会计算每个组中的行数。 In this case, you'll just get a count of 1 for each day.在这种情况下,您每天只会得到 1 的计数。 Hence this answer assumes that you actually want to plot the values in
Value
for each day.因此,此答案假定您实际上想要绘制每天的
Value
。
For application on Seaborn.适用于 Seaborn。 You can do this using count plot https://seaborn.pydata.org/generated/seaborn.countplot.html
您可以使用计数图https://seaborn.pydata.org/generated/seaborn.countplot.html
day_order = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
sns.countplot(x = "Day", data = df, order = day_order)
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