I have a dictionary with size of 8,
each key (h3-h10) has a dataframe as value.

I want to do pd.concat multiple time through all my dataframes.
I did merge 2 dataframes with simple pd.concat, but I don't know how to iterate through all my dataframes

```
df=pd.concat([data['h3'][0],data['h4'][0]])
print(df)

```

it gives this as
[output](https://i.stack.imgur.com/SqhOG.png)

my first idea is creating empty dataframe, then using for loop, appending all the rest of dataframes
I have h3-h10 as dataframes

```
qhn = []
i=0
for k in data:
  for i in range (0:len(data)-1):
    qhn = pd.concat([qhn,data[f'h{i}}'][0]])
    i+=1
print(qhn)

```

EDIT:

I was thinking of creating a series of dataframes with help from for loop,
then do pd.concate(series):

```
for k in data:
  ser.set_value(data[f'{k}'][0])
print(Series)

```

but it also gave me error :

AttributeError: 'Series' object has no attribute 'set\_value'