如何在bokeh表中删除NaN

时间:2019-11-01 04:50:40

标签: python bokeh

我正在使用bokeh小部件表来显示数据,我使用Dateformatter来格式化日期,但是散景表中的空日期正在显示'NaN / NaN / NaN',如何删除这些NaN?

import numpy as np
from bokeh.io import output_notebook
output_notebook()

c, conn = connection()

sqlString = "SELECT * FROM Database.SQLTable;"
df = pd.read_sql_query(sqlString, conn)
c.close()
conn.close()

#df = df.replace(np.nan, '', regex=True)

cols = [
    TableColumn(field='ID', title='ID'),
    TableColumn(field='Activity_Title', title='Activity_Title'), 
    TableColumn(field='Originator', title='Originator'), 
    TableColumn(field='Country', title='Country'), 
    TableColumn(field='Activity_Date', title='Activity_Date', formatter=DateFormatter(format="%m/%d/%Y")), 
    TableColumn(field='record_insert_datetime', title='record_insert_datetime', formatter=DateFormatter(format="%m/%d/%Y"))
]     

data_table = DataTable(columns=cols, source=ColumnDataSource(df), fit_columns=True)

当前结果显示:enter image description here

如何用空字符串替换那些“ NaN / NaN / NaN”?

1 个答案:

答案 0 :(得分:0)

您是否尝试过DataFrame的“ fillna”功能?

以下是示例:

df["record_insert_datetime"].fillna("0/0/0", inplace = True)