如何修复“位置参数”以成功运行 PostgreSQL 的人口普查 API？答案

【问题标题】：How to fix a "positional argument" in order to successfully run a census API for PostgreSQL?如何修复“位置参数”以成功运行 PostgreSQL 的人口普查 API？
【发布时间】：2019-09-12 01:39:04
【问题描述】：

我正在尝试从人口普查 API 变量的 csv 文件中提取数据，代码将选择所有州、县和人口普查区域。我收到“TypeError：state_county_tract()”； “需要 5 个位置参数，但给出了 6 个。”似乎返回了一个“(self, *args, **kwargs)”的包装函数。

我知道我的层次结构按“state_county_tract”顺序排列，并且我为每个使用通配符“(:*)”：stateFIPS、countyFIPS、tractFIPS。

```x = c.acs5.state_county_tract(mylist, stateFIPS, countyFIPS, tractFIPS, Census.ALL)  # mylist is a list of census variable names
```df = pd.DataFrame(x)
def main():
```df = pd.read_csv(r'C:\file.csv')
```mylist = df['Code'].values.tolist()
```tableName = 'acs2017'
```getData(mylist, tableName, 'census')
main()

【问题讨论】：

标签： sqlalchemy pycharm python-3.7 windows-10-desktop census

【解决方案1】：

````for s in state_fips:
````````x = c.acs5.state_county_tract(mylist, s, county_fips, tract)  # mylist is a list 
````````of census variable names
````````df = pd.DataFrame(x)  # convert data to data frame
````````df.to_sql(tablename, engine, schema=schema, if_exists='append')

````def main():
````````df = pd.read_csv('list.csv', header=0, encoding='unicode_escape', sep=',', 
````````lineterminator='\n')
````````mylist = df['Code'].values.tolist()
````````tablename = '2017acs5'
````````getdata(mylist, tablename, 'census')

````main()
You cant wildcard state, county, and tract. So I for loop the state_fips and wildcard county and tract

【讨论】：