英文:
How to make a boxplot in using month as x-axis and data as y-axis
问题
你可以在Python中使用matplotlib库的boxplot函数来实现相似的效果。以下是相应的代码：
import matplotlib.pyplot as plt
data = [delta_gmb_gris[date_month == i] for i in range(1, 13)]
fig, ax = plt.subplots(figsize=(10, 7))
# Creating boxplot
bp = ax.boxplot(data)
# Setting labels and title
ax.set_xticklabels([str(i) for i in range(1, 13)])
ax.set_xlabel('Month')
ax.set_ylabel('Data')
ax.set_title('Boxplot of Data by Month')
# Show plot
plt.show()
这段代码将按月份将数据分组，并创建一个相应的箱线图，x轴表示月份，y轴表示数据。
英文:
I have the following datasets (see below).
import numpy as np
date_month =\
np.array([ 4, 5, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11,
12, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4,
5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7, 8, 9,
10, 11, 12, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2,
3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7,
8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
2, 3, 4, 5, 7, 8, 9, 10, 10, 12, 1, 2, 3, 4, 6, 7, 8,
9, 11, 12, 1, 2, 4, 5, 6, 7, 10, 11, 12, 1, 3, 4, 5, 6,
8, 9, 10, 11, 1, 2, 3, 4, 4, 7, 8, 9, 12, 1, 2, 3, 5,
6, 7, 8, 11, 12, 1, 4, 4, 5, 6, 6, 7, 10, 11, 12, 1, 2,
3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7,
8, 9, 10, 11, 12, 1, 2])
delta_gmb_gris =\
np.array([ 0.00000000e+00, 6.52332764e+01, -3.21059875e+02, -1.16000977e+02,
1.49104065e+02, 2.64947510e+00, 6.44912109e+01, 2.50497498e+02,
-2.01494080e+02, 6.72978516e+01, 3.90867310e+01, -4.75610352e+00,
-1.88961121e+02, -2.03859741e+02, 8.72711182e+00, 8.64827881e+01,
3.07638550e+01, -6.92280273e+01, 1.55065308e+01, 6.16711426e+00,
3.14987793e+01, 7.76036987e+01, -4.47878418e+01, 2.07130737e+01,
-1.71567993e+02, -1.27824707e+02, -4.09106445e+01, -6.65779724e+01,
1.22063568e+02, 1.01320801e+01, -7.25188599e+01, 5.64022827e+01,
7.34244995e+01, 1.50355225e+01, 3.38818359e+01, -4.31621094e+01,
-1.35590759e+02, -1.79813110e+02, -1.11535080e+02, 1.75334015e+01,
3.81227112e+00, 1.05325272e+02, -9.73476105e+01, 3.31967773e+01,
1.25141800e+02, -5.99645996e+01, 6.89667358e+01, -4.80169373e+01,
-5.99559021e+01, -1.39211884e+02, -1.25912407e+02, 2.10015106e+01,
1.06963715e+02, -3.59637375e+01, 2.01712189e+01, 7.62488937e+01,
-5.14585114e+01, 1.07143402e+01, 3.43760834e+01, -2.37678070e+01,
-1.97999802e+02, -1.57171906e+02, -3.81405640e+01, -2.07762146e+01,
4.34190369e+01, -3.78499146e+01, 5.10930328e+01, 8.71820450e+01,
-7.65830231e+00, 9.55678940e+01, -9.06094055e+01, -3.79481125e+01,
-1.51231674e+02, -2.04288483e+02, 1.75345154e+01, -4.03978271e+01,
1.17001984e+02, -2.23410034e+01, 7.62485352e+01, 9.95090027e+01,
-6.25500793e+01, -6.23908691e+01, 3.89622498e+01, 8.02760315e+01,
-8.80406799e+01, -3.50216858e+02, -4.16336670e+01, 3.23754883e+01,
1.47501221e+01, 1.26898743e+02, 4.58666992e+00, -2.09291382e+01,
-4.63806152e-01, -7.16840820e+01, 6.68127441e+01, -4.77747803e+01,
-2.39722107e+02, -1.82174377e+02, -1.14288452e+02, 8.92976074e+01,
-1.76489258e+00, 7.19572144e+01, 4.34899902e+00, -6.35200806e+01,
3.36867676e+01, -1.09863281e-02, -3.13136353e+02, -3.04594727e+01,
-2.03292603e+02, -6.26403809e+00, 2.49539795e+01, 8.23956299e+01,
-2.02749023e+01, 6.30859375e-01, 9.74741211e+01, -3.07237549e+01,
2.30983887e+01, -1.05333008e+02, -4.74336426e+02, -1.04421387e+02,
1.18629150e+02, 4.91618652e+01, 1.77366943e+01, -5.09847412e+01,
6.53220215e+01, 5.60297852e+01, 2.20312500e+01, -2.14761841e+02,
-7.57222900e+01, 5.24270020e+01, 2.35379639e+01, -5.40844727e+00,
9.83039551e+01, -1.90515137e+01, 1.13490601e+02, -1.22815186e+02,
-3.75110596e+02, 2.94479980e+01, -8.11767578e+00, 2.30630371e+02,
-2.21856934e+02, 1.98024902e+02, -7.98215332e+01, 4.95251465e+01,
-2.07468262e+01, -2.14999023e+02, -3.74052734e+01, -8.99821777e+01,
4.27360840e+01, 4.12053223e+01, 3.22509766e+01, 1.75200195e+01,
6.32805176e+01, -5.16687012e+01, -2.10808594e+02, -1.83963867e+02,
1.11079346e+02, -1.16482422e+02, 2.03957275e+02, -7.33830566e+01,
1.47921143e+02, -9.34592285e+01, -3.33400879e+01, -4.14875488e+01,
-6.58161621e+01, -6.06201172e+00, 1.03962646e+02, -9.55339355e+01,
-4.34025879e+01, -7.14077148e+01, -1.37099609e+01, 6.51933594e+01,
-2.58312988e+01, 2.11472168e+01, -2.47263672e+02, -1.89649170e+02,
-7.08708496e+01, -5.19438477e+01, 6.52338867e+01, 1.65212402e+01,
-7.45874023e+01, 4.24604492e+01, -8.08146973e+01, -8.29882812e+00,
6.45378418e+01, -3.11279297e+00, -1.39932861e+02, -1.78218018e+02,
5.48134766e+01, 8.66081543e+01, 6.78093262e+01, -9.07756348e+01,
9.45754395e+01, 1.15795898e+00])
I want to make a boxplot of the data with the month on the x-axis and the data on the y-axis. This is fairly simple in Matlab, where you can just use one line to plot it:
boxchart(date_month,delta_gmb_gris)
which produces exactly what I want:
In Python, however, this is not the case:
data = [date_month,delta_gmb_gris]
fig = plt.figure(figsize =(10, 7))
# Creating axes instance
ax = fig.add_axes([0, 0, 1, 1])
# Creating plot
bp = ax.boxplot(data)
# show plot
plt.show()
How can I solve it?
答案1
得分: 1
You can use either seaborn or just matplotlib.
First, convert data to a pandas dataframe...
import pandas as pd
df=pd.DataFrame({'date_month': date_month, 'delta_gmb_gris':delta_gmb_gris})
then plot using seaborn...
import seaborn as sns
sns.boxplot(data=df, x='date_month', y='delta_gmb_gris')
If you want to use matplotlib only...
df.boxplot(column='delta_gmb_gris', by='date_month')
英文:
You can use either seaborn or just matplotlib.
First, convert data to a pandas dataframe...
import pandas as pd
df=pd.DataFrame({'date_month': date_month, 'delta_gmb_gris':delta_gmb_gris})
then plot using seaborn...
import seaborn as sns
sns.boxplot(data=df, x='date_month', y='delta_gmb_gris')
If you want to use matplotlib only...
df.boxplot(column='delta_gmb_gris', by='date_month')
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