检查字符串以在火花数据框中创建新列

Question

I have a Spark dataframe column with trading pairs that I need to use to create a new column with the name of the coin populated in it.

The first column "bot" contains "Polkadot/USD", I need a new column called "coin" that contains only the substring "Polkadot" of the bot column. Same for all other rows. Basically the new column needs to have the substring "/USD" removed.

How would the code look like to accomplish this. I'm a crypto trader not a coder, so the more coding detail in the answer the better. Thank you.

Note: The notebook is a Python Notebook

Answer 1

You can use regexp_replace to substitute a substring with another substring

df.withColumn('coin', F.regexp_replace(F.col('bot'), '/USD', ''))

---

Example

# sample dataframe
df3 = spark.createDataFrame([
    ('BamBridge/USD', ),
    ('CLV/USD', ),
    ('ETH/USD', ),
    ('Polkadot/USD', ),
], ['bot'])

df3 = df3.withColumn('coin', F.regexp_replace(F.col('bot'), '/USD', ''))

df3.show()

+-------------+---------+
|          bot|     coin|
+-------------+---------+
|BamBridge/USD|BamBridge|
|      CLV/USD|      CLV|
|      ETH/USD|      ETH|
| Polkadot/USD| Polkadot|
+-------------+---------+