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)
如何用空字符串替换那些“ NaN / NaN / NaN”?
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)