使用python将数据帧上载到google工作表时出错？

Question

我获取一个google表单作为pandas数据帧，然后在df中添加一列，然后将其上传回来。我面临这个错误：

Object of type 'int64' is not JSON serializable

代码如下：

#reading and writing on google sheets

gc = pygsheets.authorize(service_file="/Projects/big_query_funnel_v1/input/AppFunnelgs-e1968da.json")

sheet=gc.open('Daily Drop Offs Summary')
wks = sheet.worksheet_by_title('New_Funnel')

#converting to pandas df
ds = wks.get_as_df()

#making a new column
ds.insert(loc=1, column=str(dates), value=edf.vals)

print(ds.head())

wks.set_dataframe(ds, 'A1')

我得到的错误在最后一行代码，即当上传回测向。你知道吗

Answer 1

以下工作（不修改逻辑）：

edf = pd.DataFrame({"vals":[1,2,3,4,5]}, dtype="int64")
dates = "column_name"



#reading and writing on google sheets

gc = pygsheets.authorize(service_file="/Projects/big_query_funnel_v1/input/AppFunnelgs-e1968da.json")

sheet=gc.open('Daily Drop Offs Summary')
wks = sheet.worksheet_by_title('New_Funnel')

#converting to pandas df
ds = wks.get_as_df()

#making a new column
ds.insert(loc=1, column=str(dates), value=edf.vals)

print(ds.head())

wks.set_dataframe(ds, 'A1')

软件包版本：

pygsheets==2.0.1
pandas==0.23.4

Answer 2

Json不理解numpy整数，所以在上传回googlesheets之前，需要将数据帧转换为string或int。你知道吗

ds = ds.applymap(str)