时间，渐渐带走了年少轻狂，也慢慢沉淀了冷暖自知。成功的道路上，肯定会有失败；对于失败，我们要正确地看待和对待，不怕失败者，则必成功；怕失败者，则一无是处，会更失败。
各国家用户消费分布
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
data = {
'China': [1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2500],
'America': [1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100],
'Britain': [1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000],
"Russia": [800, 1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900]
}
df = pd.DataFrame(data)
# df.plot.box(title="Consumer spending in each country", vert=False)
df.plot.box(title="Consumer spending in each country")
plt.grid(linestyle="--", alpha=0.3)
plt.show()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
data = {
'China': [1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2500],
'America': [1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100],
'Britain': [1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000],
"Russia": [800, 1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900]
}
df = pd.DataFrame(data)
from pandas.plotting import table
fig, ax = plt.subplots(1, 1)
table(ax, np.round(df.describe(), 2),
loc='upper right',
colWidths=[0.1, 0.1, 0.1, 0.1]
)
# df.plot.box(title="Consumer spending in each country", vert=False)
df.plot.box(title="Consumer spending in each country",
ax=ax,
ylim=(750, 3000))
plt.grid(linestyle="--", alpha=0.3)
plt.show()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
data = {"gender": [1, 0, 1, 0, 1, 0, 1, 0, 1, 0],
'China': [1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2500],
'America': [1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100]
}
df = pd.DataFrame(data)
# df.boxplot(column=["China", "America"], by="gender",vert=False)
df.boxplot(column=["China", "America"], by="gender")
plt.grid(linestyle="--", alpha=0.3)
plt.show()
到此这篇关于Python Pandas 箱线图的实现就介绍到这了。万事开头难，熬过最开始的那段时间，你会很快适应新节奏。更多相关Python Pandas 箱线图的实现内容请查看相关栏目，小编编辑不易，再次感谢大家的支持！
