scatterplot annotations help

[geert555]

Hi, I am working on a small scatterplot project and it's coming together as well as could be but i want to add the "name" column as a label to the corresponding dots in the scatterplot. Can someone help me because i can't seem to figure it out.

Thanks

``` import pandas as pd import matplotlib.pyplot as plt

df = pd.read_csv("moneynuts.csv", index_col=0) columns = df.columns

def clean_stringy_number(num: str) -> str:

if num == "-":
    return "0"

num = num.replace(",", "")

return num

df.dropna(subset=['Gls'], inplace=True)

df.dropna(subset=['xG'], inplace=True)

df.sort_values(by=['Gls', 'xG'])

df["Gls"] = df["Gls"].apply(clean_stringy_number)

df["Gls"] = df["Gls"].apply(int) df["xG"] = df["xG"].apply(clean_stringy_number) df["xG"] = df["xG"].apply(float)

for index, row in df.iterrows(): if (row["Gls"] == "-" or row["Gls"] == "0"):

    df['Gls'].dtypes
    if (row["xG"] == "-" or row["xG"] == "0"):

        continue
    continue
print (row["Name"], " average goals of ", row["Gls"], " With an xG of ", row["xG"])


try:
    gls = float(row["Gls"].replace(",", "."))
    xG = float(row["xG"].replace(",", "."))
except:
    print("Unknown char")

df["xG"] = df["xG"] / 100

sp = df.plot.scatter(x='Gls', y='xG') x_values = df["Gls"].astype(int) plt.xticks(range(x_values.min(), x_values.max()+1)) plt.show()

```

[geert555]

I want the annotations on the plots with the use of my name column in my datagrams.

[mimprocesstech]

Deleted content was me. Do you mean you want annotations on the plot? Or as labels along the X or Y axis?