Hey there! Let's work through why you're hitting this error and get your bar plot up and running. This issue typically stems from one of two common problems—let's break them down step by step:

1. Your filter condition is returning an empty DataFrame #

The threshold count > 10000 is likely way too strict for your dataset. From your example, the highest counts you mentioned are 215 and 233—so no rows in your words_df meet the "greater than 10000" rule. An empty DataFrame has no data to plot, hence the error.

How to verify & fix: #

• First, confirm if your filtered data is empty with this quick check:

  filtered_df = words_df[words_df['count'] > 10000]
  print(filtered_df)
  

• If the output is just column headers with no rows, lower the threshold to match your actual data. For example, using your sample counts:

  words_df[words_df['count'] > 200].plot(x='Word', kind='bar')
  

2. Your count column isn't stored as a numeric type #

Even if the values in your count column look like numbers, pandas might have loaded them as strings (marked as the object data type). Non-numeric data can't be used for plotting, which will trigger the error even if your filter returns rows.

How to verify & fix: #

• Check the data type of your count column first:

  print(words_df['count'].dtype)
  

• If the output is object, convert the column to a numeric type before plotting:

  # Convert to numeric, replacing invalid values with NaN
  words_df['count'] = pd.to_numeric(words_df['count'], errors='coerce')
  # Drop any rows where conversion failed (if needed)
  words_df = words_df.dropna(subset=['count'])
  # Now try your plot again (adjust the threshold as needed)
  words_df[words_df['count'] > 200].plot(x='Word', kind='bar')
  

Start with checking the empty DataFrame first—given your sample counts, that's almost certainly the immediate issue here!

内容的提问来源于stack exchange，提问作者yok