有没有办法绘制“client_nr”与“Credit Total”的关系图:
示例:
当前代码:
credit_clients.iloc[-1].plot.bar()
产生:
感谢您的帮助。
答案 0 :(得分:0)
.loc[]
import numpy as np
import pandas as pd
# synthesize data
i = pd.MultiIndex.from_product([pd.date_range("1-jan-2018", freq="M", periods=6), range(10)], names=["yearmonth","client_nr"])
df = pd.DataFrame(index=i, data=np.random.uniform(1,10, len(i))).unstack()
df.columns = df.columns.droplevel(0)
df.loc["Client Total"] = df.sum(axis=0)
# plot it...
df.loc["Client Total"].plot(kind="bar")
年月 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|
2018-01-31 00:00:00 | 8.48257 | 9.38166 | 9.14367 | 7.52485 | 8.25407 | 4.9672 | 8.28687 | 2.96698 | 9.37681 | 2.36876 |
2018-02-28 00:00:00 | 5.99324 | 8.72813 | 6.06575 | 4.19694 | 8.03992 | 2.22363 | 9.56064 | 8.23965 | 6.97355 | 5.8883 |
2018-03-31 00:00:00 | 8.85086 | 8.48972 | 9.11997 | 7.91605 | 6.38338 | 9.33158 | 7.26467 | 8.00862 | 8.38145 | 6.81128 |
2018-04-30 00:00:00 | 7.69246 | 5.17472 | 7.73813 | 2.75313 | 7.12725 | 9.86623 | 2.16481 | 8.15056 | 6.81378 | 9.01334 |
2018-05-31 00:00:00 | 6.05941 | 3.29547 | 7.05862 | 9.83301 | 4.51411 | 4.11672 | 7.53534 | 5.52747 | 8.34065 | 3.13277 |
2018-06-30 00:00:00 | 9.7033 | 9.36859 | 4.35592 | 4.4328 | 5.61218 | 1.13454 | 9.63189 | 3.44345 | 6.60661 | 4.43206 |
客户总数 | 46.7818 | 44.4383 | 43.4821 | 36.6568 | 39.9309 | 31.6399 | 44.4442 | 36.3367 | 46.4928 | 31.6465 |
import plotly.express as px
px.bar(df.loc["Client Total"].reset_index(), x="client_nr", y="Client Total", color="client_nr")