[英]How to show xticks for all 365 distinct tick labels on the X-axis using matplotlib?
[英]matplotlib difficult to show all x tick labels
我有一個數據系列
hour
0 35845
1 18921
2 14484
3 12504
4 13862
5 14958
6 23328
7 33580
8 66878
9 65291
10 61785
11 64781
12 68799
13 72486
14 83230
15 75487
16 88231
17 85383
18 75525
19 61739
20 51696
21 43215
22 38539
23 30797
dtype: int64
我想 plot 數據系列並顯示所有 x 刻度標簽,范圍從 0 到 23。基本 plot 的代碼是
import matplotlib as plt
import seaborn as sb
fig, ax = plt.subplots()
plt.title("Collision by hour")
sb.lineplot(x = df_hour.index,
y = df_hour.values)
這給了我一個只有 5 個 x_tick 標簽的 plot:
我試過:
import matplotlib.pyplot as plt
import seaborn as sb
import import matplotlib.dates as mdate
fig, ax = plt.subplots()
plt.title("Collision by hour")
locator = mdate.AutoDateLocator(minticks=12, maxticks=24)
formatter = mdate.ConciseDateFormatter(locator)
ax.xaxis.set_major_locator(locator)
ax.xaxis.set_major_formatter(formatter)
ax.plot(df_hour.index, df_hour.values)
結果缺少奇數小時和額外的開始和結束限制:
我試過
import matplotlib.pyplot as plt
import seaborn as sb
import import matplotlib.dates as mdate
fig, ax = plt.subplots()
plt.title("Collision by hour")
hour_locator = mdate.HourLocator(interval = 1)
hour_formatter = mdate.DateFormatter("%H")
ax.xaxis.set_major_locator(hour_locator)
ax.xaxis.set_major_formatter(hour_formatter)
ax.plot(df_hour.index, df_hour.values)
結果不可讀 x_tick label:
我試過
fig, ax = plt.subplots()
plt.title("Collision by hour")
ax.set_xticklabels(df["hour"])
ax.plot(df_hour.index, df_hour.values)
結果只有正確的 x_tick label:
我試過
fig, ax = plt.subplots()
plt.title("Collision by hour")
ax.set_xticklabels([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23])
ax.plot(df_hour.index, df_hour.values)
結果只剩下 x_tick label:
不知道還有什么可以嘗試的。
正如對問題的評論中提到的, “技巧”是用ax.set_xticks([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23])
也可以使用 dataframe ax.set_xticks(df.hour)
的小時列來完成。
在整個代碼和創建的 plot 的圖像下方:
data = [
[0 , 35845],
[1 , 18921],
[2 , 14484],
[3 , 12504],
[4 , 13862],
[5 , 14958],
[6 , 23328],
[7 , 33580],
[8 , 66878],
[9 , 65291],
[10 , 61785],
[11 , 64781],
[12 , 68799],
[13 , 72486],
[14 , 83230],
[15 , 75487],
[16 , 88231],
[17 , 85383],
[18 , 75525],
[19 , 61739],
[20 , 51696],
[21 , 43215],
[22 , 38539],
[23 , 30797], ]
import pandas as pd
df = pd.DataFrame(data, columns =['hour', 'collisions'])
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
plt.title("Collision by hour")
ax.plot(df.hour, df.collisions)
# ax.set_xticks([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23])
ax.set_xticks(df.hour)
plt.show()
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