# Solution

## Import Necessary Libraries

```python
import pandas as pd
```

## # Reading all the Files:

### Reading Order Report:

```python
CX_order_report = pd.read_excel("COURIER DATA/Company X - Order Report.xlsx")
CX_order_report.head()
```

<figure><img src="/files/jNKDgWsyudtLBr6aEL6e" alt=""><figcaption></figcaption></figure>

### Reading Company Invoice

```python
CC_invoice = pd.read_excel(r"COURIER DATA/Courier Company - Invoice.xlsx")
CC_invoice.head()
```

<figure><img src="/files/vKLKUKekKaipeeyEaMCV" alt=""><figcaption></figcaption></figure>

### Reading SKU Master:

```python
CX_SKU_Master = pd.read_excel(r"COURIER DATA/Company X - SKU Master.xlsx")
CX_SKU_Master.head()
```

<figure><img src="/files/h00sVKSTZwnyLc3iTYdC" alt=""><figcaption></figcaption></figure>

### Reading Courier Rates:

```python
CC_Rates = pd.read_excel(r"COURIER DATA/Courier Company - Rates.xlsx")
CC_Rates.head()
```

<figure><img src="/files/bnYrwTShKA7d7bYvOrtg" alt=""><figcaption></figcaption></figure>

### Reading Pincode Zones:

```python
CX_Pincode_Zones = pd.read_excel(r"COURIER DATA\Company X - Pincode Zones.xlsx")
CX_Pincode_Zones.head()
CX_Pincode_Zones
```

![](/files/7F9w4kqxQLJtvLldurZV)

```python
# renaming all the columns as x as client x and cc as courier company
```

### Renaming all the columns as x as client x and cc as courier company

```python
CX_Pincode_Zones.rename(columns = {'Zone':'zone_X'}, inplace = True)
CX_Pincode_Zones
```

<figure><img src="/files/eeVEIEKdLayl4ON68L3R" alt=""><figcaption></figcaption></figure>


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