逆引き　こんなときこうした集

df['col_A'].apply(lambda x: type(x).__name__).value_counts()

table(sapply(df$col_A, function(x) class(x)))

# float型の要素の数を数える
float_count = sum(isinstance(x, float) for x in df['col_A'])

# str型の要素の数を数える
str_count = sum(isinstance(x, str) for x in df['col_A'])

print(f"Floatの数: {float_count}")
print(f"Strの数: {str_count}")

# float型の要素の数を数える
float_count <- sum(sapply(df$col_A, is.numeric))

# str型の要素の数を数える
str_count <- sum(sapply(df$col_A, is.chracter))

str_data = [x for x in df['col_A'] if isinstance(x, str)]

str_data <- df$col_A[sapply(df$col_A, is.character)]

df.loc[df['col_A'].idxmax(), ['col_B','col_C','col_D']]

## 準備中

df[(df['col_A']>=10) & (df['col_A']<300)][['col_B','col_C','col_D']]

## 準備中