Seaborn 热图抛出意外错误 [英] Seaborn heatmap throwing unexpected error

问题描述

我正在尝试执行以下代码:

导入 seaborn 为 sns将熊猫导入为 pd将 numpy 导入为 np年 = 范围(1949,1961)月 = ['一月','二月','三月','四月','五月','六月','七月','八月','九月','十月','十一月','十二月']乘客 = pd.Series(np.random.randint(100, 1000, len(year)*len(month)), name='passengers')年 = pd.Series(year * len(month), name='years')月份 = pd.Series(month * len(year), name='months').sort_values().reset_index(drop=True)df = pd.DataFrame([年、月、乘客]).Tdf_flight = df.pivot(index="months", columns="years", values="passengers")sns.heatmap(df_flight, annot=True, fmt="d", linewidths=.5)

它抛出了意外错误:

TypeError: ufunc 'isnan' 不支持输入类型，并且无法根据转换规则 ''safe'' 将输入安全地强制转换为任何受支持的类型

请解释我的代码中有什么错误.

解决方案

您需要通过

I am trying to execute following code:

import seaborn as sns
import pandas as pd
import numpy as np
year = range(1949,1961)
month = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']
passengers = pd.Series(np.random.randint(100, 1000, len(year)*len(month)), name='passengers')
years = pd.Series(year * len(month), name='years')
months = pd.Series(month * len(year), name='months').sort_values().reset_index(drop=True)
df = pd.DataFrame([years, months, passengers]).T
df_flight = df.pivot(index="months", columns="years", values="passengers")
sns.heatmap(df_flight, annot=True, fmt="d", linewidths=.5)

It was throwing unexpected error:

TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

Kindly explain what is error in my code.

解决方案

You need convert values to int by astype, because strings:

sns.heatmap(df_flight.astype(int), annot=True, fmt="d", linewidths=.5)

---

Problem is if use DataFrame constructor this way and values at least one column are strings, then it convert all values to strings too:

df = pd.DataFrame([years, months, passengers]).T

print (df.dtypes)
years         object
months        object
passengers    object

Solution is use concat or DataFrame constructor with dicts:

df = pd.concat([years, months, passengers], axis=1)

print (df.dtypes)
years          int64
months        object
passengers     int32
dtype: object

...

sns.heatmap(df_flight, annot=True, fmt="d", linewidths=.5)

Or:

df = pd.DataFrame({'years':years, 'months':months, 'passengers':passengers})

print (df.dtypes)
months        object
passengers     int32
years          int64
dtype: object

...

sns.heatmap(df_flight, annot=True, fmt="d", linewidths=.5)

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