我试图使用seaborn的regplot函数来绘制数据集中价格与每百公里油耗（km/100L）的关系图。我尝试将这两个列的数据类型转换为int64，但没有成功。
automobile_df["price"].astype("int64")automobile_df["km/100L"].astype("int64")然后我尝试使用seaborn库的regplot函数来绘制价格与每百公里油耗（km/100L）的关系图。
sns.regplot(x="km/100L",y="price",data="automobile_df")我得到的完整错误信息是，
TypeError Traceback (most recent call last)<ipython-input-53-fdf8be478666> in <module>()----> 1 sns.regplot(x="km/100L",y="price",data="temp_df")/usr/local/lib/python3.6/dist-packages/seaborn/regression.py in regplot(x, y, data, x_estimator, x_bins, x_ci, scatter, fit_reg, ci, n_boot, units, seed, order, logistic, lowess, robust, logx, x_partial, y_partial, truncate, dropna, x_jitter, y_jitter, label, color, marker, scatter_kws, line_kws, ax) 807 order, logistic, lowess, robust, logx, 808 x_partial, y_partial, truncate, dropna,--> 809 x_jitter, y_jitter, color, label) 810 811 if ax is None:/usr/local/lib/python3.6/dist-packages/seaborn/regression.py in __init__(self, x, y, data, x_estimator, x_bins, x_ci, scatter, fit_reg, ci, n_boot, units, seed, order, logistic, lowess, robust, logx, x_partial, y_partial, truncate, dropna, x_jitter, y_jitter, color, label) 107 # Extract the data vals from the arguments or passed dataframe 108 self.establish_variables(data, x=x, y=y, units=units,--> 109 x_partial=x_partial, y_partial=y_partial) 110 111 # Drop null observations/usr/local/lib/python3.6/dist-packages/seaborn/regression.py in establish_variables(self, data, **kws) 43 for var, val in kws.items(): 44 if isinstance(val, str):---> 45 vector = data[val] 46 elif isinstance(val, list): 47 vector = np.asarray(val)TypeError: string indices must be integers回答：
我认为问题的原因是astype()默认返回一个副本（参见文档），所以你需要将结果赋值给同一个列，像这样：
automobile_df["price"] = automobile_df["price"].astype("int64")automobile_df["km/100L"] = automobile_df["km/100L"].astype("int64")或者如果你只想在绘图时更改类型，可以这样使用
sns.regplot(x=automobile_df["km/100L"].astype("int64"),y=automobile_df["price"].astype("int64"))